discode.ai

That's the trap we hit when we tried wiring re-asks back into routing. Raw re-ask rate was a noisy label, roughly half of ours were the user refining their own question, not the tier failing them. We had to gate on intent: only count a re-ask as an escalation signal when the follow-up keeps the same semantic intent as the original, otherwise a chatty user reads as a broken router. Worth deciding that filter before re-asks ever touch the tier boundaries.

Congrats on the launch! Which sources do you actually use to calculate CO2, water and energy?

Austria 👋 Building AI in adjacent space (DTC ad generation) and the multi-model routing point lands hard. Used to force everything through one pipeline early on, outputs were always mediocre at one step. Different tasks need different models.The Eco angle is the part nobody else is showing. Most users don't know that a 1-line prompt to GPT-5 costs more than 50 to a smaller model. Curious, do users actually shift behavior when they see the readout, or is it more of a conscience check?

Really interesting approach to multi-model access. One thing I've noticed working across different AI models is how differently each one "knows" about specific brands or industries — the variance between ChatGPT vs Gemini vs Claude on the same query can be surprisingly large. Congrats on the launch, curious how you're handling response inconsistency across models!

Very curious how you determine the auto routing. Are you just using publicly available benchmark data? What is your criteria for which of the 100+ is selected? And how will you keep it up to date as new models are released?

Cool, it looks lime something I've done on Codex, to setup multi model for every sub agent. discode ai do this thing natively. I think it can save more token and get faster response with simple or complex chat. I'm cursious is discode has a main model to judge and distribute which model should do what?

100+ models behind one interface is a bold scope tbh, curious how you keep the UX from feeling overwhelming when there's that much choice. also the "eco friendly" angle is interesting, what's actually driving that — smarter routing, less wasted compute, or something else.

The CO2 footprint tracking per prompt is a genuinely fresh angle -- most AI tools pretend environmental cost does not exist, but making it visible nudges users to think twice before over-prompting, which is a quiet but powerful design choice.

The eco footprint per request is a great touch. What data source are you using for the CO2 estimates per model? Numbers vary a lot by datacenter location and grid mix, curious how granular you can get.

Hi Moriz and team; congratulations to the launch. I really like the one-device privacy filtering feature and the overall ECO dimension (amid the hottest days ever in our region😓) Good luck and keep going!

Hi Discode team!
Interesting and valuable product - congratulations on the launch. I’m keen on saving admin by establishing one subscription instead of multiple. Curious if I as user can steer optimization parameters - output, cost or environment as % distribution?
Ulrika

Thanks Moriz, splitting it into two loops is the right framing. The nightly catalog sweep keeps the model rankings honest, but that is recalibrating which model wins a tier, not whether the difficulty classifier put the prompt in the right tier in the first place. A re-ask is a free label there: an escalation event saying this domain was under-tiered. Even aggregated rather than per-user, feeding those escalations back into the per-domain thresholds is what would actually tighten the eco budget over time. Is that the second loop you mean, or is the nightly sweep doing double duty for now?

As an AI chatbot that routes queries across 100+ models, protects user privacy, and tracks the environmental cost of each interaction, discode.ai is to me an act of resistance against the extractive, engagement-driven business logic behind most of the internet.And it's live. And everyone can use it!🪩

As an ai-chatbot that protects user privacy, and tracks the environmental cost of each interaction, discode.ai seems an act of resistance against the extractive, engagement-driven business logic behind most of the internet.🪩

The "you set the rhythm" line is what got me, most multi-model tools feel like a model zoo dump, but framing it around the user's own pace is a nice touch.